Having said that, and motivated by the generalization capability shown by \(ME\) , it is worthwhile to ask: When is \(ME\)  actually relevant within this context? What is needed for it to be a good descriptor of the culture metabolism?
In principle, all the effective constraints that are acting upon the evaluated properties (\(\emph {e.g.}\)  the culture observable flux configuration) must be known and included correctly in the model formulation [1]}.
Fortunately, in the context of metabolic models, the data necessary for formulating environmental constraints are commonly available (\(\emph {e.g.}\)  medium composition, cellular concentration, culture observables, etc.).
However, although progress in this area has been substantial, metabolic models generally lack some information needed for a complete formulation of internal constraints (\(\emph {e.g.}\)  kinetic parameters of enzymes, influence of the regulatory network, completeness of the stoichiometric network, etc.) [2]}.
The relative relevance of both types of constraints in a particular experimental condition determines the effectiveness of the inference method.
